7 дней назад
Data & AI Operations Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data & AI Operations Intern (AI): Improving operational processes through data organization, workflow automation, API integrations, and practical AI tools with an accent on data quality, process efficiency, and operational problem-solving. Focus on connecting business tools, analyzing and cleaning data, troubleshooting system issues, and experimenting with chatbots and AI workflows.
Location: Bartók Béla út 15/b, Budapest, Hungary
Company
delivers diverse data, technology, and business projects supported by collaborative teams, mentoring, and modern tools.
What you will do
- Improve repetitive operational processes, including DWH data connections, Slack API integrations, and project-list organization.
- Organize, clean, and analyze data used for everyday business decisions.
- Automate workflows and connect everyday tools to reduce manual work.
- Experiment with AI tools, chatbots, and workflows for practical business use cases.
- Troubleshoot operational issues, identify system bugs, and implement small improvements.
- Validate data quality, follow up on missing or incorrect information, and support agreed processes.
Requirements
- Availability of at least 25 hours per week.
- Interest in AI, data, and technology, with an analytical and curious approach to problem-solving.
- Experience with Google Sheets or Excel and basic experience working with data.
- Ability to use AI tools such as Gemini or Claude to learn, solve problems, or create simple solutions.
- Reliability, attention to detail, organization, and proactive communication.
- Comfortable written and spoken English communication.
Nice to have
- Previous work, internship, or student organization experience.
- University project experience and familiarity with project planning and delivery.
- Experience creating presentations in PowerPoint or similar tools.
- Interest in learning SQL, Python, or Google Apps Script.
Culture & Benefits
- Exposure to diverse technical and business projects.
- Access to up-to-date technologies and tools.
- Collaborative, close-knit teams with regular knowledge-sharing and technical discussions.
- Work-life balance coordinated with personal activities.
- Regular team gatherings and a personal mentor for professional and personal support.
- Culture based on mutual respect, cooperation, and social connection.
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